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飞灰和石墨烯氧化物复合材料在高温下的协同效应以及使用ANN和RSM方法进行预测

I Ramana¹, N Parthasarathi²

¹Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India.

Scientific reports

|January 10, 2025

概括

这项研究研究了混凝土的高温性能,其中包括飞灰 (FA) 和石墨烯氧化物 (GO). 发现增强机械性能的最佳温度是200°C,机器学习模型预测了混凝土的性能.

科学领域:

材料科学材料科学材料科学
土木工程土木工程是指土木工程.
纳米技术纳米技术

背景情况:

飞灰 (FA) 是燃烧煤炭的波佐兰副产品,在建筑中广泛使用,以提高材料的强度和耐用性.
石墨烯氧化物 (GO) 是石墨烯的衍生物,以其高机械强度,大表面积和低电导率而闻名.
在水泥材料中将FA和GO结合在一起,有可能提高性能和减少环境影响,特别是降低碳排放.

研究的目的:

评估高温对含有FA和GO的混凝土机械,微观结构和热性能的影响.
为了确定在混凝土应用中使用FA和GO复合材料的最佳温度.
探索使用机器学习来预测这些新型混凝土复合材料的机械性能.

主要方法:

混凝土混合物以20%的FA替代剂和0.08%的GO添加,以水泥重量为准备.
样品被置于高温 (200°C,400°C,600°C,800°C) 中4小时.
评估了机械性能,并进行了微结构/热分析. 机器学习模型 (RSM和ANN) 用于财产预测.

主要成果:

混凝土复合材料在200°C时表现出最佳的机械特性.
微结构分析对于理解高温下GO材料的行为至关重要.
机器学习有效地预测了混凝土混合物的机械性能.

结论:

将飞灰和石墨烯氧化物融入混凝土中,有望在高温下增强材料性能.
需要进一步的研究来优化GO的使用,制造和经济可行性,以获得广泛的环境效益.
这项研究强调了了解高温材料行为的重要性,以及材料科学中预测建模的实用性.

关键词:

飞行灰的飞行灰石墨烯氧化物石墨烯氧化物高温的高温的高温的高温.机器学习是机器学习.统计局统计局统计局统计局

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